OCR+ECAR-Pipeline
| Plate | N_out | Wells |
|---|---|---|
| PBMC-DB2#10A_1x+DB2#10A_1y 16-Oct-18 | 0 | |
| PBMC-DB2#10A_2x+DB2#10A_2y 08-Nov-18 | 2 | D06 F07 |
| PBMC-DB2#10A_3x+DB2#10A_3y 20-Nov-18 | 0 | |
| PBMC-DB2#10A_4x+DB2#10A_4y 14-Dec-18 | 1 | D06 |
| PBMC-DB2#11B_1x+DB2#11B_1y 20-Dec-18 | 6 | B01 E03 E09 G09 G10 H01 |
| PBMC-DB2#11D_3x+DB2#11D_3y 23-01-2019 | 17 | A03 A08 C04 D05 D06 D07 E02 E03 E05 E10 F03 F05 G03 G05 H05 H06 H07 |
| PBMC-DB2#11B_4x+DB2#11B_4y 18-Feb-19 | 9 | B04 C01 C10 E11 F08 G01 G12 H02 H11 |
| PBMC-DB2#1A_1x+DB2#1A_1y 09-10-2017 | 2 | H04 H09 |
| PBMC-DB2#1A_2x+DB2#1A_2y 03-11-2017 | 0 | |
| PBMC-DB2#1A_3x+DB2#1A_3y 14-11-2017 | 4 | C06 D01 E01 E08 |
| PBMC-DB2#1A_4x+DB2#1A_4y 07-12-2017 | 3 | D02 F06 H04 |
| PBMC-DB2#2B_1x+DB2#2B_1y 17-01-2018 | 3 | B09 C06 E04 |
| PBMC-DB2#2B_3x+DB2#2B_3y 20-Feb-18 | 8 | B01 B12 C05 D01 D02 D06 D07 H01 |
| PBMC-DB2#2B_4x+DB2#2B_4y 15-03-2018 | 1 | B05 |
| PBMC-DB2#3B_1x+DB2#3B_1y 31-01-2018 | 2 | B09 H11 |
| PBMC-DB2#3B_2x+DB2#3B_2y 23-Feb-18 | 1 | B08 |
| PBMC-DB2#3B_3x+DB2#3B_3y 07-03-2018 | 1 | F08 |
| PBMC-DB2#3B_4x+DB2#3B_4y 28-03-2018 | 4 | D11 F05 F08 G08 |
| PBMC-DB2#4A_1x+DB2#4A_1y 09-01-2018 | 0 | |
| PBMC-DB2#4A_2x+DB2#4A_2y 01-02-2018 | 5 | D08 F08 G08 H03 H08 |
| PBMC-DB2#4A_3x+DB2#4A_3y 13-02-2018 | 3 | D08 E08 H01 |
| PBMC-DB2#4A_4x+DB2#4A_4y 09-03-2018 | 2 | D02 D06 |
| PBMC-DB2#5A_1+DB2#6D_1 27-03-2018 | 0 | |
| PBMC-DB2#5A_2x+DB2#5A_2y 23-04-2018 | 2 | D01 D07 |
| PBMC-DB2#5A_3+DB2#6G_3 02-05-2018 | 2 | D06 D07 |
| PBMC-DB2#5A_4x+DB2#5A_4y 25-05-2018 | 2 | B10 E08 |
| PBMC-DB2#6G_2x+DB2#6G_2y 19-04-2018 | 1 | H12 |
| PBMC-DB2#6G_4x+DB2#6G_4y 24-05-2018 | 1 | C02 |
| PBMC-DB2#7A_2x+DB2#7A_2y 17-08-2018 | 0 | |
| PBMC-DB2#7A_3x+DB2#7A_3y 29-08-2018 | 2 | D07 G11 |
| PBMC-DB2#7A_4x+DB2#7A_4y 21-09-2018 | 8 | A12 B12 C12 D12 E12 F12 G12 H12 |
| PBMC-DB2#9A_1x+DB2#9A_1y 02-07-2018 | 3 | C01 D01 F01 |
| PBMC-DB2#9A_3x+DB2#9A_3y 23-Aug-18 | 0 | |
| PBMC-DB2#9A_4x+FCCP_TEST 17-Sep-18 | 0 |
| Plate | N_out | Wells | Measurement |
|---|---|---|---|
| PBMC-DB2#10A_1x+DB2#10A_1y 16-Oct-18 | 0 | ||
| PBMC-DB2#10A_2x+DB2#10A_2y 08-Nov-18 | 4 | A01 D06 D07 | 1 3 9 9 |
| PBMC-DB2#10A_3x+DB2#10A_3y 20-Nov-18 | 5 | H01 | 1 2 4 6 8 |
| PBMC-DB2#10A_4x+DB2#10A_4y 14-Dec-18 | 2 | D06 D07 | 6 6 |
| PBMC-DB2#11B_1x+DB2#11B_1y 20-Dec-18 | 5 | D07 H01 | 1 1 2 3 5 |
| PBMC-DB2#11D_3x+DB2#11D_3y 23-01-2019 | 8 | A01 | 2 3 4 5 6 7 8 9 |
| PBMC-DB2#11B_4x+DB2#11B_4y 18-Feb-19 | 2 | D06 | 2 3 |
| PBMC-DB2#1A_1x+DB2#1A_1y 09-10-2017 | 0 | ||
| PBMC-DB2#1A_2x+DB2#1A_2y 03-11-2017 | 2 | H01 | 8 9 |
| PBMC-DB2#1A_3x+DB2#1A_3y 14-11-2017 | 3 | A12 | 1 8 9 |
| PBMC-DB2#1A_4x+DB2#1A_4y 07-12-2017 | 3 | D07 | 2 3 8 |
| PBMC-DB2#2B_1x+DB2#2B_1y 17-01-2018 | 6 | A01 D07 A12 H12 | 1 1 7 8 8 9 |
| PBMC-DB2#2B_3x+DB2#2B_3y 20-Feb-18 | 10 | A01 H01 | 1 1 2 3 4 5 6 7 8 9 |
| PBMC-DB2#2B_4x+DB2#2B_4y 15-03-2018 | 11 | H01 H12 A12 | 2 2 3 4 4 5 6 7 7 8 9 |
| PBMC-DB2#3B_1x+DB2#3B_1y 31-01-2018 | 2 | H12 A12 | 2 9 |
| PBMC-DB2#3B_2x+DB2#3B_2y 23-Feb-18 | 6 | H01 H12 | 5 5 6 6 7 7 |
| PBMC-DB2#3B_3x+DB2#3B_3y 07-03-2018 | 10 | A12 A01 D07 | 2 3 4 4 5 6 7 8 9 9 |
| PBMC-DB2#3B_4x+DB2#3B_4y 28-03-2018 | 1 | H01 | 3 |
| PBMC-DB2#4A_1x+DB2#4A_1y 09-01-2018 | 0 | ||
| PBMC-DB2#4A_2x+DB2#4A_2y 01-02-2018 | 16 | A12 H01 A01 D07 | 1 1 3 4 5 5 6 7 8 9 9 10 10 11 11 12 |
| PBMC-DB2#4A_3x+DB2#4A_3y 13-02-2018 | 11 | H01 D07 | 1 2 3 4 5 6 7 8 8 9 9 |
| PBMC-DB2#4A_4x+DB2#4A_4y 09-03-2018 | 9 | A12 D06 | 2 2 3 3 4 4 5 8 9 |
| PBMC-DB2#5A_1+DB2#6D_1 27-03-2018 | 9 | A01 D06 H01 | 2 2 3 3 6 6 8 8 9 |
| PBMC-DB2#5A_2x+DB2#5A_2y 23-04-2018 | 5 | D01 D07 | 6 8 8 9 9 |
| PBMC-DB2#5A_3+DB2#6G_3 02-05-2018 | 3 | H01 H12 | 4 7 9 |
| PBMC-DB2#5A_4x+DB2#5A_4y 25-05-2018 | 1 | A01 | 1 |
| PBMC-DB2#6G_2x+DB2#6G_2y 19-04-2018 | 6 | H12 H01 | 4 6 7 7 8 9 |
| PBMC-DB2#6G_4x+DB2#6G_4y 24-05-2018 | 2 | D06 H01 | 1 1 |
| PBMC-DB2#7A_2x+DB2#7A_2y 17-08-2018 | 0 | ||
| PBMC-DB2#7A_3x+DB2#7A_3y 29-08-2018 | 4 | A01 D06 D07 | 1 1 2 5 |
| PBMC-DB2#7A_4x+DB2#7A_4y 21-09-2018 | 15 | A12 H12 | 1 1 2 2 3 3 4 4 5 6 6 7 8 9 9 |
| PBMC-DB2#9A_1x+DB2#9A_1y 02-07-2018 | 5 | A01 H12 A12 | 2 2 3 6 6 |
| PBMC-DB2#9A_3x+DB2#9A_3y 23-Aug-18 | 8 | D07 H12 | 2 3 3 6 7 8 9 9 |
| PBMC-DB2#9A_4x+FCCP_TEST 17-Sep-18 | 9 | D06 D07 | 1 1 2 2 3 3 4 5 6 |
| Plate | N_out | Wells | Measurement |
|---|---|---|---|
| PBMC-DB2#10A_1x+DB2#10A_1y 16-Oct-18 | 2 | A01 A12 | 3 3 |
| PBMC-DB2#10A_2x+DB2#10A_2y 08-Nov-18 | 3 | A01 A12 D06 | 5 5 7 |
| PBMC-DB2#10A_3x+DB2#10A_3y 20-Nov-18 | 1 | D06 | 7 |
| PBMC-DB2#10A_4x+DB2#10A_4y 14-Dec-18 | 4 | D06 D07 | 1 1 2 7 |
| PBMC-DB2#11B_1x+DB2#11B_1y 20-Dec-18 | 0 | ||
| PBMC-DB2#11D_3x+DB2#11D_3y 23-01-2019 | 1 | H01 | 2 |
| PBMC-DB2#11B_4x+DB2#11B_4y 18-Feb-19 | 7 | H01 A12 | 4 5 5 6 7 8 9 |
| PBMC-DB2#1A_1x+DB2#1A_1y 09-10-2017 | 1 | D07 | 5 |
| PBMC-DB2#1A_2x+DB2#1A_2y 03-11-2017 | 6 | H01 H12 | 2 2 3 3 6 6 |
| PBMC-DB2#1A_3x+DB2#1A_3y 14-11-2017 | 4 | D06 D07 | 2 3 7 7 |
| PBMC-DB2#1A_4x+DB2#1A_4y 07-12-2017 | 4 | D06 D07 | 7 7 8 9 |
| PBMC-DB2#2B_1x+DB2#2B_1y 17-01-2018 | 6 | D07 A12 D06 H12 | 1 2 5 6 7 7 |
| PBMC-DB2#2B_3x+DB2#2B_3y 20-Feb-18 | 1 | D06 | 4 |
| PBMC-DB2#2B_4x+DB2#2B_4y 15-03-2018 | 2 | H12 D06 | 1 7 |
| PBMC-DB2#3B_1x+DB2#3B_1y 31-01-2018 | 6 | H12 A12 H01 D06 | 3 4 4 7 8 9 |
| PBMC-DB2#3B_2x+DB2#3B_2y 23-Feb-18 | 2 | D06 D07 | 7 7 |
| PBMC-DB2#3B_3x+DB2#3B_3y 07-03-2018 | 1 | D07 | 7 |
| PBMC-DB2#3B_4x+DB2#3B_4y 28-03-2018 | 1 | D07 | 7 |
| PBMC-DB2#4A_1x+DB2#4A_1y 09-01-2018 | 3 | A01 D07 | 5 8 9 |
| PBMC-DB2#4A_2x+DB2#4A_2y 01-02-2018 | 6 | A12 D06 D07 | 1 7 7 8 9 9 |
| PBMC-DB2#4A_3x+DB2#4A_3y 13-02-2018 | 1 | H12 | 8 |
| PBMC-DB2#4A_4x+DB2#4A_4y 09-03-2018 | 1 | H12 | 4 |
| PBMC-DB2#5A_1+DB2#6D_1 27-03-2018 | 5 | D06 A12 D07 | 3 4 5 7 7 |
| PBMC-DB2#5A_2x+DB2#5A_2y 23-04-2018 | 5 | A12 | 1 2 3 4 5 |
| PBMC-DB2#5A_3+DB2#6G_3 02-05-2018 | 1 | H12 | 1 |
| PBMC-DB2#5A_4x+DB2#5A_4y 25-05-2018 | 3 | D07 A12 D06 | 7 9 9 |
| PBMC-DB2#6G_2x+DB2#6G_2y 19-04-2018 | 12 | H12 H01 | 2 3 3 4 4 5 5 6 8 8 9 9 |
| PBMC-DB2#6G_4x+DB2#6G_4y 24-05-2018 | 2 | D06 D07 | 7 7 |
| PBMC-DB2#7A_2x+DB2#7A_2y 17-08-2018 | 0 | ||
| PBMC-DB2#7A_3x+DB2#7A_3y 29-08-2018 | 3 | D06 D07 | 7 7 8 |
| PBMC-DB2#7A_4x+DB2#7A_4y 21-09-2018 | 10 | A12 H12 | 1 1 3 3 4 4 5 5 6 6 |
| PBMC-DB2#9A_1x+DB2#9A_1y 02-07-2018 | 0 | ||
| PBMC-DB2#9A_3x+DB2#9A_3y 23-Aug-18 | 3 | A12 H01 | 3 3 5 |
| PBMC-DB2#9A_4x+FCCP_TEST 17-Sep-18 | 10 | D06 D07 | 4 4 5 5 6 6 7 7 8 9 |
———– OCR ———–
Filter out no relevant samples
## `summarise()` has grouped output by 'sample_id'. You can override using the `.groups` argument.## [1] "Samples removed due lack of usable measurements(less than 8 in any interval)"## character(0)## [1] "Samples removed because there are no 4 intervals )"## [1] "4A_2x-DB2 | 01-02-2018" "4A_2y-DB2 | 01-02-2018"
## [3] "DB29A_100-TEST | 17-Sep-18 " "DB29A_100 og nul-TEST | 17-Sep-18 "
## [5] "DB29A_25-TEST | 17-Sep-18 "Identyfy Outliars
Removed outliars in each iteration:
## 1 Point outliares: 2046 -- 8.987481 %
## 2 Point outliares: 723 -- 3.175928 %
## 3 Point outliares: 291 -- 1.278278 %
## 4 Point outliares: 141 -- 0.6193718 %
## 5 Point outliares: 67 -- 0.2943114 %
## 6 Point outliares: 43 -- 0.1888864 %
## 7 Point outliares: 29 -- 0.1273885 %
## 8 Point outliares: 13 -- 0.05710521 %
## 9 Point outliares: 10 -- 0.04392708 %
## 10 Point outliares: 9 -- 0.03953437 %
## 11 Point outliares: 6 -- 0.02635625 %
## 12 Point outliares: 3 -- 0.01317812 %
## 13 Point outliares: 1 -- 0.004392708 %
## 14 Point outliares: 0 -- 0 %
## Total single point outliars: 14.85614 %## `summarise()` has grouped output by 'sample_id'. You can override using the `.groups` argument.| sample_id | percentage |
|---|---|
| 7A_2y-DB2 | 17-08-2018 | 28.19 % |
| 11B_3x-DB2 | 23-01-2019 | 27.78 % |
| 4A_4y-DB2 | 09-03-2018 | 26.11 % |
| 2B_3y-DB2 | 20-Feb-18 | 25.71 % |
| 3B_4y-DB2 | 28-03-2018 | 25.37 % |
| 2B_4y-DB2 | 15-03-2018 | 24.29 % |
| 5A_2y-DB2 | 23-04-2018 | 23.61 % |
| 1A_2x-DB2 | 03-11-2017 | 23.40 % |
| 2B_4x-DB2 | 15-03-2018 | 23.36 % |
| 6G_2x-DB2 | 19-04-2018 | 22.22 % |
| 5A_4y-DB2 | 25-05-2018 | 22.03 % |
| 3B_3y-DB2 | 07-03-2018 | 21.75 % |
| 4A_3y-DB2 | 13-02-2018 | 21.22 % |
| 5A_1-DB2 | 27-03-2018 | 21.11 % |
| 3B_4x-DB2 | 28-03-2018 | 18.93 % |
| 10A_3y-DB2 | 20-Nov-18 | 18.61 % |
| 6G_4y-DB2 | 24-05-2018 | 17.50 % |
| 6G_1-DB2 | 27-03-2018 | 17.22 % |
| 1A_1x-DB2 | 09-10-2017 | 16.95 % |
| 1A_1y-DB2 | 09-10-2017 | 16.95 % |
| 4A_1y-DB2 | 09-01-2018 | 16.95 % |
| 10A_2y-DB2 | 08-Nov-18 | 16.67 % |
| 7A_3y-DB2 | 29-08-2018 | 16.52 % |
| 9A_1y-DB2 | 02-07-2018 | 16.39 % |
| 1A_3x-DB2 | 14-11-2017 | 16.12 % |
| 3B_3x-DB2 | 07-03-2018 | 16.11 % |
| 4A_1x-DB2 | 09-01-2018 | 16.00 % |
| 1A_4y-DB2 | 07-12-2017 | 15.92 % |
| 9A_4x-DB2 | 17-Sep-18 | 15.82 % |
| 2B_3x-DB2 | 20-Feb-18 | 15.60 % |
| 1A_2y-DB2 | 03-11-2017 | 15.56 % |
| 11B_3y-DB2 | 23-01-2019 | 15.04 % |
| 6G_2y-DB2 | 19-04-2018 | 15.00 % |
| 2B_1y-DB2 | 17-01-2018 | 14.53 % |
| 6G_4x-DB2 | 24-05-2018 | 14.25 % |
| 5A_4x-DB2 | 25-05-2018 | 13.89 % |
| 10A_1x-DB2 | 16-Oct-18 | 13.61 % |
| 1A_4x-DB2 | 07-12-2017 | 13.10 % |
| 6G_3-DB2 | 02-05-2018 | 12.81 % |
| 1A_3y-DB2 | 14-11-2017 | 12.75 % |
| 10A_4x-DB2 | 14-Dec-18 | 12.50 % |
| 9A_1x-DB2 | 02-07-2018 | 12.31 % |
| 4A_3x-DB2 | 13-02-2018 | 12.22 % |
| 4A_4x-DB2 | 09-03-2018 | 11.97 % |
| 7A_4y-DB2 | 21-09-2018 | 11.76 % |
| 3B_2x-DB2 | 23-Feb-18 | 11.67 % |
| 7A_4x-DB2 | 21-09-2018 | 11.39 % |
| 10A_2x-DB2 | 08-Nov-18 | 11.11 % |
| 9A_3y-DB2 | 23-Aug-18 | 10.83 % |
| 9A_3x-DB2 | 23-Aug-18 | 10.56 % |
| 3B_2y-DB2 | 23-Feb-18 | 9.32 % |
| 2B_1x-DB2 | 17-01-2018 | 8.99 % |
| 11B_4x-DB2 | 18-Feb-19 | 8.72 % |
| 7A_3x-DB2 | 29-08-2018 | 8.68 % |
| 10A_4y-DB2 | 14-Dec-18 | 8.06 % |
| 7A_2x-DB2 | 17-08-2018 | 7.60 % |
| 10A_1y-DB2 | 16-Oct-18 | 7.22 % |
| 11B_1x-DB2 | 20-Dec-18 | 6.73 % |
| 5A_2x-DB2 | 23-04-2018 | 6.61 % |
| 11B_1y-DB2 | 20-Dec-18 | 6.61 % |
| 5A_3-DB2 | 02-05-2018 | 6.39 % |
| 3B_1y-DB2 | 31-01-2018 | 5.85 % |
| 10A_3x-DB2 | 20-Nov-18 | 5.28 % |
| 11B_4y-DB2 | 18-Feb-19 | 5.03 % |
| 3B_1x-DB2 | 31-01-2018 | 3.61 % |
Print schemes of removed points for all samples
## Warning: Removed 7 rows containing missing values (geom_point).
## Warning: Removed 3 rows containing missing values (geom_point).
# Get Estimates
Bioenergetics and Estimates
Estimates
Estimates are taken by median of measurements from each interval in sample. Estimates are stored together with other details about the intervals in files called
If you want to see or change how they are computed see the function compute_bioenergetics_ ()in file analysis_source_functions.R
## `summarise()` has grouped output by 'sample_id'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'sample_id'. You can override using the `.groups` argument.| sample_id | Interval | mean | SD | SE | size | CV |
|---|---|---|---|---|---|---|
| 10A_1x-DB2 | 16-Oct-18 | Int1 | 46.773 | 4.003 | 0.346 | 134 | 8.558 |
| 10A_1x-DB2 | 16-Oct-18 | Int2 | 15.161 | 1.541 | 0.196 | 62 | 10.165 |
| 10A_1x-DB2 | 16-Oct-18 | Int3 | 115.773 | 9.284 | 1.340 | 48 | 8.019 |
| 10A_1x-DB2 | 16-Oct-18 | Int4 | 11.905 | 2.686 | 0.328 | 67 | 22.564 |
See diferent distribution of the estimates 
Bioenergetics
Bioenergetics are computed from estimates, there there are two sets of bioenergetics provided.
Ratio Based, computed from log(OCR) estimates Located in OUTPUT/LogOCR-BioEnergetics.csv
Difference based, computed from OCR esimates Located in OUTPUT/OCR-BioEnergetics.csv If you want to see or change how they are computed see the function compute_bioenergetics_() in file analysis_source_functions.R
| Sample | variable | value |
|---|---|---|
| 10A_1x-DB2 | 16-Oct-18 | log.Basal.Resp | 1.368 |
| 10A_1y-DB2 | 16-Oct-18 | log.Basal.Resp | 1.262 |
| 10A_2x-DB2 | 08-Nov-18 | log.Basal.Resp | 1.313 |
| 10A_2y-DB2 | 08-Nov-18 | log.Basal.Resp | 1.286 |
Groups
If the sample_id of your samples contains letters A or B following graph will plot bioenergetics of the two grups. It is suggested to use this plot only when you are looking at grouped samples and project name shouldn’t contain letters A or B. Any sample that is not labeled will be part of B group.
You can change the A and B letters in the markdown code to compare other groups.
# difference based BE
n.bio %>%
mutate(Group = ifelse(grepl("A", Sample), "A", "B")) %>% # change "A" and "B" for any character or string
ggplot(aes(Group, value, fill = variable))+
ggtitle("OCR Normal scale Bio-Energetics biological groups ")+
geom_boxplot(width = 0.5, outlier.size = -1, alpha = 0.7)+
geom_jitter(width = 0.1, show.legend = FALSE, size = 0.5)+
xlab("Bio-Energetics")+
ylab("OCR")+
facet_grid(. ~ variable ) +
theme_bw()
# ratio based BE
l.bio %>%
mutate(Group = ifelse(grepl("A", Sample), "A", "B")) %>% # change "A" and "B" for any character or string
ggplot(aes(Group, value, fill = variable))+
ggtitle("OCR Normal scale Bio-Energetics biological groups ")+
geom_boxplot(width = 0.5, outlier.size = -1, alpha = 0.7)+
geom_jitter(width = 0.1, show.legend = FALSE, size = 0.5)+
xlab("Bio-Energetics")+
ylab("OCR")+
facet_grid(. ~ variable ) +
theme_bw()
———— ECAR ————
Filter out no relevant samples
## `summarise()` has grouped output by 'sample_id'. You can override using the `.groups` argument.## [1] "Samples removed due lack of usable measurements(less than 8 in any interval)"## character(0)## [1] "Samples removed because don't have 3 Intervals"## [1] "4A_2x-DB2 | 01-02-2018" "4A_2y-DB2 | 01-02-2018"
## [3] "DB29A_100-TEST | 17-Sep-18 " "DB29A_100 og nul-TEST | 17-Sep-18 "
## [5] "DB29A_25-TEST | 17-Sep-18 "Remove outliars
## 1 Point outliares: 725 -- 4.544315 %
## 2 Point outliares: 247 -- 1.548201 %
## 3 Point outliares: 102 -- 0.6393381 %
## 4 Point outliares: 66 -- 0.4136894 %
## 5 Point outliares: 32 -- 0.2005767 %
## 6 Point outliares: 18 -- 0.1128244 %
## 7 Point outliares: 8 -- 0.05014416 %
## 8 Point outliares: 3 -- 0.01880406 %
## 9 Point outliares: 3 -- 0.01880406 %
## 10 Point outliares: 6 -- 0.03760812 %
## 11 Point outliares: 2 -- 0.01253604 %
## 12 Point outliares: 0 -- 0 %
## Total single point outliars: 7.596841 %## `summarise()` has grouped output by 'sample_id'. You can override using the `.groups` argument.| sample_id | percentage |
|---|---|
| 3B_3y-DB2 | 07-03-2018 | 35.66 % |
| 3B_4x-DB2 | 28-03-2018 | 22.54 % |
| 11B_3x-DB2 | 23-01-2019 | 21.31 % |
| 3B_2x-DB2 | 23-Feb-18 | 19.44 % |
| 1A_1y-DB2 | 09-10-2017 | 18.70 % |
| 1A_2x-DB2 | 03-11-2017 | 18.25 % |
| 1A_1x-DB2 | 09-10-2017 | 17.07 % |
| 11B_3y-DB2 | 23-01-2019 | 15.25 % |
| 3B_2y-DB2 | 23-Feb-18 | 14.46 % |
| 5A_2y-DB2 | 23-04-2018 | 13.89 % |
| 7A_2y-DB2 | 17-08-2018 | 13.26 % |
| 5A_1-DB2 | 27-03-2018 | 12.70 % |
| 1A_4y-DB2 | 07-12-2017 | 11.51 % |
| 1A_3x-DB2 | 14-11-2017 | 11.26 % |
| 4A_3y-DB2 | 13-02-2018 | 11.21 % |
| 1A_3y-DB2 | 14-11-2017 | 11.11 % |
| 3B_1y-DB2 | 31-01-2018 | 11.11 % |
| 3B_4y-DB2 | 28-03-2018 | 10.43 % |
| 6G_4y-DB2 | 24-05-2018 | 10.32 % |
| 3B_3x-DB2 | 07-03-2018 | 9.92 % |
| 10A_4y-DB2 | 14-Dec-18 | 8.73 % |
| 4A_3x-DB2 | 13-02-2018 | 8.73 % |
| 7A_4x-DB2 | 21-09-2018 | 8.73 % |
| 9A_4x-DB2 | 17-Sep-18 | 8.20 % |
| 1A_4x-DB2 | 07-12-2017 | 7.66 % |
| 3B_1x-DB2 | 31-01-2018 | 7.54 % |
| 6G_1-DB2 | 27-03-2018 | 7.14 % |
| 1A_2y-DB2 | 03-11-2017 | 6.35 % |
| 5A_4y-DB2 | 25-05-2018 | 6.22 % |
| 11B_4x-DB2 | 18-Feb-19 | 6.17 % |
| 2B_1y-DB2 | 17-01-2018 | 6.02 % |
| 4A_4x-DB2 | 09-03-2018 | 5.69 % |
| 4A_4y-DB2 | 09-03-2018 | 5.56 % |
| 7A_3x-DB2 | 29-08-2018 | 5.56 % |
| 2B_3y-DB2 | 20-Feb-18 | 5.31 % |
| 7A_4y-DB2 | 21-09-2018 | 5.00 % |
| 11B_1x-DB2 | 20-Dec-18 | 4.94 % |
| 10A_1y-DB2 | 16-Oct-18 | 4.76 % |
| 6G_2y-DB2 | 19-04-2018 | 4.76 % |
| 5A_4x-DB2 | 25-05-2018 | 4.37 % |
| 5A_2x-DB2 | 23-04-2018 | 4.00 % |
| 6G_3-DB2 | 02-05-2018 | 3.98 % |
| 6G_2x-DB2 | 19-04-2018 | 3.97 % |
| 9A_3y-DB2 | 23-Aug-18 | 3.97 % |
| 6G_4x-DB2 | 24-05-2018 | 3.66 % |
| 7A_2x-DB2 | 17-08-2018 | 3.66 % |
| 2B_3x-DB2 | 20-Feb-18 | 3.54 % |
| 2B_1x-DB2 | 17-01-2018 | 3.32 % |
| 10A_3y-DB2 | 20-Nov-18 | 3.17 % |
| 4A_1y-DB2 | 09-01-2018 | 2.90 % |
| 10A_2y-DB2 | 08-Nov-18 | 2.87 % |
| 2B_4y-DB2 | 15-03-2018 | 2.81 % |
| 10A_2x-DB2 | 08-Nov-18 | 2.78 % |
| 9A_3x-DB2 | 23-Aug-18 | 2.78 % |
| 11B_1y-DB2 | 20-Dec-18 | 2.06 % |
| 10A_3x-DB2 | 20-Nov-18 | 1.98 % |
| 5A_3-DB2 | 02-05-2018 | 1.98 % |
| 7A_3y-DB2 | 29-08-2018 | 1.96 % |
| 11B_4y-DB2 | 18-Feb-19 | 1.35 % |
| 4A_1x-DB2 | 09-01-2018 | 0.80 % |
| 10A_1x-DB2 | 16-Oct-18 | 0.79 % |
| 10A_4x-DB2 | 14-Dec-18 | 0.79 % |
| 9A_1x-DB2 | 02-07-2018 | 0.43 % |
| 2B_4x-DB2 | 15-03-2018 | 0.42 % |
| 9A_1y-DB2 | 02-07-2018 | 0.40 % |
Estimates
Bioenergetics and Estimates
## `summarise()` has grouped output by 'sample_id'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'sample_id'. You can override using the `.groups` argument.#Estimates
Bioenergetics
#Groups
ECAR vs OCR
BASAL ECAR vs BASAl OCAR
